Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lauren E Snyder"'
Autor:
Lauren E Snyder, Daniel F Phan, Kristen C Williams, Eduardo Piqueiras, Sarah E Connor, Sheba George, Lorna Kwan, Jefersson Villatoro Chavez, Megha D Tandel, Stanley K Frencher, Mark S Litwin, John L Gore, Andrea L Hartzler
Publikováno v:
Journal of the American Medical Informatics Association. 29:1838-1846
Objective Visual timelines of patient-reported outcomes (PRO) can help prostate cancer survivors manage longitudinal data, compare with population averages, and consider future trajectories. PRO visualizations are most effective when designed with de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f34de7c1ce715eaf9337ec67ad074f8
https://doi.org/10.1093/jamia/ocac148
https://doi.org/10.1093/jamia/ocac148
Autor:
Mark S. Litwin, Sarah E. Connor, Reggie Casanova-Perez, Lauren E. Snyder, Andrea L. Hartzler, Georgina Mendoza, Ayan Anandkumar Saraf, Darwin P. Jones, Amelia Wang, John L. Gore, Sheba George
Publikováno v:
VAHC
Visualizing patient-reported outcomes overtime has become a common strategy to help patients track their health. However, traditional line graphs and bar charts might be less accessible to people with limited numeracy and graph literacy. Although pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b722a4d1203d90acbe680288b4e96e89
https://doi.org/10.1109/vahc53729.2020.00009
https://doi.org/10.1109/vahc53729.2020.00009
Publikováno v:
Biomedical Informatics Insights
Biomedical Informatics Insights, Vol 9 (2017)
Biomedical Informatics Insights, Vol 9 (2017)
Introduction: Recent pertussis outbreaks in the United States suggest our response to local disease outbreaks (eg, vaccine-preventable Bordetella pertussis ) may benefit from understanding and applying spatial analytical methods that use data from im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be9f577e05c817bf3ae589060e168877
https://pubmed.ncbi.nlm.nih.gov/28469433
https://pubmed.ncbi.nlm.nih.gov/28469433